A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks

Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (eds.). Berlin: GITO mbH Verlag, p. 125-142 18 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Application of Machine Learning on Transport Spot Rate Prediction In the Recycling Industry

Green, T., Rokoss, A., Kramer, K. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 554-563 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Circular supply chain management for the wind energy industry: Conceptional ideas towards more circularity

Kramer, K. & Schmidt, M., 14.09.2022, Digitization of the work environment for sustainable production. Plapper, P. (ed.). Berlin: GITO mbH Verlag, p. 61-80 20 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e. V.).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Circular Supply Chain Management in the Wind Energy Industry - A Systematic Literature Review

Kramer, K. & Schmidt, M., 26.04.2023, Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin. Kohl, H., Seliger, G. & Dietrich, F. (eds.). Cham: Springer Schweiz, p. 85-93 9 p. (Lecture Notes in Mechanical Engineering).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies

Kramer, K., Rokoss, A. & Schmidt, M., 2021, Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 2021; Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 223-233 11 p. (Proceedings of the ... Conference on Production Systems and Logistics; vol. 2).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing

Kramer, K., Wagner, C. & Schmidt, M., 2020, Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems - IFIP WG 5.7 International Conference, APMS 2020, Proceedings: The Path to Digital Transformation and Innovation of Production Management Systems IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. Lalic, B., Marjanovic, U., Majstorovic, V., von Cieminski, G. & Romero, D. (eds.). Cham: Springer, Vol. 1. p. 363-370 8 p. (IFIP Advances in Information and Communication Technology; vol. 591 IFIP).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review